Triple
T28836965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appropriate Adult |
E728208
|
entity |
| Predicate | supportingActressAwardReceivedBy |
P8119
|
FINISHED |
| Object | Monica Dolan |
E328611
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Monica Dolan | Statement: [Appropriate Adult, supportingActressAwardReceivedBy, Monica Dolan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportingActressAwardReceivedBy Context triple: [Appropriate Adult, supportingActressAwardReceivedBy, Monica Dolan]
-
A.
supportingActressNominee
Indicates that a person has been nominated for an award in the category of supporting actress.
-
B.
supportingActressRole
Indicates that an actress performs a supporting (non-leading) role in a particular production or work.
-
C.
bestSupportingActressWinner
chosen
Indicates that the subject is the person who won the Best Supporting Actress award for the specified work, year, or event.
-
D.
supportingActorOfWinningFilm
Indicates that an entity is a supporting actor in a film that has won a specified award or competition.
-
E.
supportingActorNominee
Indicates that an entity has been nominated for an award recognizing their performance in a supporting acting role.
- F. None of above.
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a020ab9630c8190a55efd5704cc6043 |
completed | May 11, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25a83769b48190a0b1ed1e080f1cd1 |
completed | June 7, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_6a020800e2b88190a1a37e710d8c92bf |
completed | May 11, 2026, 4:46 p.m. |
Created at: April 28, 2026, 6:39 a.m.